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Corpus-based discovery of semantic intensity scales.

, , , and . HLT-NAACL, page 483-493. The Association for Computational Linguistics, (2015)

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Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study., , , , , , , and . BMC Medical Informatics Decis. Mak., (2014)Integrating Population- and Patient-Level Data for Secondary Use of Electronic Health Records to Study Overweight and Obesity., , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 1100. IOS Press, (2013)Textual inference for eligibility criteria resolution in clinical trials., , , , , and . J. Biomed. Informatics, (2015)Automatic data source identification for clinical trial eligibility criteria resolution., , , , and . AMIA, AMIA, (2016)Comparison of UMLS terminologies to identify risk of heart disease using clinical notes., , , and . J. Biomed. Informatics, (2015)Corpus-based discovery of semantic intensity scales., , , and . HLT-NAACL, page 483-493. The Association for Computational Linguistics, (2015)RECRUIT: Roadmap to Enhance Clinical trial Recruitment Using Information Technology., , , , and . AMIA, AMIA, (2015)Addressing Limited Data for Textual Entailment Across Domains., , and . ACL (1), The Association for Computer Linguistics, (2016)A review of approaches to identifying patient phenotype cohorts using electronic health records., , , , , , and . J. Am. Medical Informatics Assoc., 21 (2): 221-230 (2014)